Survey and Research Challenges in Monocular Visual Odometry
Author:
Affiliation:
1. University of Sannio,Department of Engineering,82100 Benevento,ITALY
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10163996/10163997/10164057.pdf?arnumber=10164057
Reference40 articles.
1. Enhanced V-SLAM combining SVO and ORB-SLAM2, with reduced computational complexity, to improve autonomous indoor mini-drone navigation under varying conditions
2. Monocular Visual Odometry Based on Depth and Optical Flow Using Deep Learning
3. Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications
4. UnDeepVO: Monocular Visual Odometry Through Unsupervised Deep Learning
5. Area-Time Efficient Streaming Architecture for FAST and BRIEF Detector
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